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their added value against simpler machine-learning baselines; train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies
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existing case studies. Where needed, you will contribute to field data collection to support model validation. You will share your results in stakeholder meetings, scientific conferences, and academic
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sediment management. This will be done for two case studies, namely Western Scheldt and Wadden Sea. To facilitate knowledge exchange and the learning process, interactive workshops will be organized
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against simpler machine-learning baselines; • train and evaluate ARCA on large-scale microbiome datasets, with attention to sparsity, batch effects, scalability, generalisation across studies and
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better understand what quantum technologies may mean for countries of the second category, the candidate will engage in the following activities: Study methodology by which UNESCO explores the impact of
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excellent opportunities to publish in high-impact journals, collaborate with leading European partners, supervise MSc and PhD students, and contribute to the development of innovative battery and charging
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project, you will develop and validate experimental methods to study wafer bonding in a quantitative and physics-based way. You will work on wafer bonding measurements and combine these with advanced
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the content of the science they study. You will be an active member of RCNP. You will collaborate with the other postdoctoral researchers, PhD candidates and senior investigators, participate in seminars and
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competencies Education You should have completed within the past five years, or be close to completing, a PhD in aerospace engineering, mathematics, physics, computer science or a related field. A PhD in space
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of four substantive research pillars and a work package on knowledge transfer. This vacancy concerns a postdoctoral position within Pillar 4. You will work closely with the PhD candidates in the other